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[SPARK-22797][ML][PYTHON] Bucketizer support multi-column #25801

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[SPARK-22797][ML][PYTHON] Bucketizer support multi-column #25801

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zhengruifeng Sep 16, 2019
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zhengruifeng Sep 16, 2019
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zhengruifeng committed Sep 16, 2019
commit 6ec8384bda7fed1b8605a108293ca70be89120cf
2 changes: 1 addition & 1 deletion python/pyspark/ml/feature.py
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Expand Up @@ -330,7 +330,7 @@ class BucketedRandomProjectionLSHModel(LSHModel, JavaMLReadable, JavaMLWritable)
class Bucketizer(JavaTransformer, HasInputCol, HasOutputCol, HasInputCols, HasOutputCols,
HasHandleInvalid, JavaMLReadable, JavaMLWritable):
"""
Maps a column of continuous features to a column of feature buckets. Since 2.3.0,
Maps a column of continuous features to a column of feature buckets. Since 3.0.0,
:py:class:`Bucketizer` can map multiple columns at once by setting the :py:attr:`inputCols`
parameter. Note that when both the :py:attr:`inputCol` and :py:attr:`inputCols` parameters
are set, an Exception will be thrown. The :py:attr:`splits` parameter is only used for single
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